Capstone II – EDUC 888
CG • Section • 11/10/2019 to 04/18/2020 • Modified 07/28/2020
This course focuses on developing doctoral candidates' capstone project proposal.
Under the direction of a faculty mentor, the doctoral candidate conducts data collection for the capstone project.
Measurable Learning Outcomes
Upon successful completion of this course, the candidate will be able to:
- Describe the primary steps of the data collection process
- Develop a timeline, semester goals, and write progress reports regarding his or her capstone project
- Execute research and collect data
The candidate will adhere to the guidelines, formatting, and procedures outlined in the capstone template. (MLO: A, C)
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the candidate will complete the related checklist found in Module/Week 1.
Discussion Board Forum Updates (4)
The candidate will post a progress report update in Week 1, 5, 10, and 15. In addition to the thread, the candidate is required to reply to 2 other classmates’ threads. The faculty mentor will assign a pass/no pass grade for each post. (MLO: A, B, C)
Capstone Submissions (4)
The candidate will complete 4 capstone submissions during the course in order to demonstrate measurable progress. The capstone project will be submitted in Blackboard and may be reviewed informally by the faculty mentor for improvement over previous drafts. The faculty mentor will assign a pass/no pass grade for the submission. If the manuscript is ready for a full formal review by the faculty mentor, the candidate should email the faculty mentor requesting a full formal review of the manuscript. (MLO: C)
Raw Data Submission
The candidate will submit the raw data collected for the capstone project, including interview transcriptions. (MLO: A, C)
In order to pass EDUC 888, the candidate must earn at least 6 points on the Progress Measurement Rubric. If the candidate does not earn 6 points, he or she will receive a No Pass in EDUC 888. (MLO: A, B, C)